神经网络控制实例，有s模块源码及simulink搭建

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本书介绍了行星齿轮的传动设计，内容十分详细全面，几乎涵盖了各种行星齿轮，强烈推荐给机械专业的读者！

【实例简介】电力电子变换器：PWM策略与电流控制技术 带目录 2016年机械工业出版社出版的图书，作者是艾瑞克·孟麦森(EricMonmasson) 译者序 引言 第1章用于两电平三相电压型逆变器的载波脉宽调制1 1.1引言1 1.2参考电压va ref、vb ref、vc ref3 1.3参考电压Pa ref、Pb ref、Pc ref6 1.4va、vb、vc与Pa、Pb、Pc之间的联系8 1.5PWM信号的产生8 1.5.1反锯齿波8 1.5.2传统锯齿形载波11 1.5.3三角形载波12 1.5.4说明16 1.6通过参考波形va ref k、vb ref k、vc ref k确定Pa ref k、Pb ref k、Pc ref k16 1.6.1“正弦”调制1 7 1.6.2“居中”调制18 1.6.3“亚优化”调制19 1.6.4“平顶”和“平底”调制20 1.7总结22 1.8参考文献22 第2章空间矢量调制策略24 2.1逆变器和空间矢量PWM24 2.1.1问题描述24 2.1.2逆变器模型24 2.1.3空间矢量调制27 2.2通用方法33 2.2.1自由度33 2.2.2全指令域的拓展34 2.2.3空间矢量调制36 2.2.4PWM频谱38 2.3空间矢量PWM与实现39 2.3.1实现所需硬件及通用结构39 2.3.2工作扇区的确定42 2.3.3空间矢量PWM的一些变种43 2.4总结46 2.5参考文献46 第3章三相电压型逆变器的过调制48 3.1背景48 3.2调制策略的比较48 3.2.1引言48 3.2.2“全波”调制49 3.2.3标准调制策略的性能50 3.3调制器的饱和53 3.4改进的过调制56 3.5参考文献62 第4章脉冲宽度调制的计算与优化策略64 4.1程式化PWM简介64 4.2PWM的有效频率范围65 4.3程式化谐波消除PWM66 4.4优化PWM68 4.4.1简介68 4.4.2最小化判据68 4.4.3优化结果应用70 4.4.4实时生成原理72 4.5多电平PWM的计算73 4.5.1简介73 4.5.2三电平PWM的计算74 4.5.3独立的多电平PWM的计算77 4.6总结78 4.7参考文献79 第5章ΔΣ调制81 5.1引言81 5.2单相ΔΣ调制原理81 5.2.1开环或闭环操作82 5.2.2频率特性82 5.2.3参考信号幅值对频谱的影响84 5.2.4指令信号频率对频谱成分的影响85 5.2.5窄脉冲的缺失85 5.2.6决策要素85 5.2.7非对称与对称DSM86 5.3三相情况：矢量DSM87 5.3.1选择新矢量的判据88 5.3.2三电平三相逆变器93 5.4总结94 5.5参考文献94 第6章随机调制策略96 6.1引言96 6.2展布频谱技术及其应用96 6.3随机调制技术介绍98 6.3.1PWM的确定性基础98 6.3.2变频率随机PWM98 6.3.3随机脉冲位置PWM99 6.3.4三相逆变器中的随机PWM99 6.3.5整体评价99 6.4随机调制的频谱分析100 6.4.1电压频谱的影响100 6.4.2负载电流频谱的影响101 6.4.3直流母线电流影响101 6.4.4对电动机噪声和振动的影响103 6.5总结106 6.6参考文献106 第7章调速装置的电磁兼容：PWM控制策略的影响108 7.1简介108 7.2EMC研究的目标109 7.3静止变流器中的EMC机理110 7.3.1引言110 7.3.2EMC标准111 7.3.3标准的测量与仿真112 7.4时域仿真113 7.5频域建模：工程师的工具114 7.5.1建模的目标114 7.5.2干扰源建模115 7.5.3逆变器的频域表示119 7.6PWM控制120 7.6.1基于载波PWM120 7.7不同基于载波PWM策略的源的比较128 7.7.1正弦交叉比较PWM128 7.7.2谐波注入控制129 7.7.3换相率限制：死区带PWM控制129 7.8空间矢量PWM130 7.9最小化共模电压的结构134 7.10总结134 7.11参考文献135 第8章多相电压源逆变器137 8.1引言137 8.2电压源逆变器的矢量建模138 8.2.1n桥臂结构：术语、标记、举例138 8.2.2平均值控制：PWM140 8.3带多相负载的逆变器148 8.3.1负载拓扑和相关自由度149 8.3.2实际例子：三相情况152 8.3.3实际例子：五相负载154 8.4总结158 8.5参考文献158 第9章多电平变换器的PWM策略163 9.1多电平和交错并联变换器163 9.2调制器169 9.2.1回顾：两电平调制器169 9.2.2多电平调制器172 9.3

计算机专业的毕业设计报告有代码截图还有流程图等，十分实用

该代码实现的是图像的二分类，hog用于图像的特征提取，svm表示的是对特征的分类。解压缩后，在添加到matlab的工作目录后，需要在代码中修改一下资源文件的路径（比如正负样本的图片路径），才可以正确运行。

libpng的库文件，lib文件，dll文件，png.lib libpngd.lib zlib.lib zlibd.liblibpng15d.dll zlib1d.dllpng.h pngconf.h zconf.h zlib.h

5G无线通信系统关键技术（剑桥大学出版社） 2017年出版 对于5G所有最新技术进行了详细说明 很全的工具书Key Technologies for5G Wireless SystemsVINCENT W. S, WONGUniversity of British ColumbiaROBERT SCHOBERUniversity of Erlangen-NurembergDERRICK WING KWAN NGUniversity of New South WalesLI-CHUN WANGNational Chiao-Tung University即CAMBRIDGEUNIVERSITY PRESSCAMBRIDGEUNIVERSITY PRESSUniversity Printing House. Cambridge CB2 SBS. United KindomOne Liberty Plaza, 20h Floor New York, NY I(H0X, USA477 williamstown Road, port Melbourne, yic 3207 australia48424, 2nd Floor, Ansar Rod, Daryaganj. Delhi- I l4XH2, India79 Anson Road, #o6-(/ 00, Singapore 079%MCambridge University Press is part of the Lniversity of CambridgeIt furthers the University s mission by disseminating knowledge in the pursuit ofeducation, leaming and research at the highest international levels of excellence.www.cermbrid吧eInformtiononthistitlewww.cambridgeorg/978110713241810,1017③781316771655C Cambridge University Press 2017This puhlication is in copyright. Subjcct to sututonry exceptionand to the provisions of relewant collective licensing agreementsno reproduction of any part may take place without the writtenpermission of Cutmbridgre University Press.First published 2(117Printed in the United Kingdom by TJ International Ltd. Padstow, CornwallA catalogue recor for this pudlieafiove is aailable fromm the British LibraryLibrary of Congress Cataloging- in Pi hlicaiomz dataNames: Wong, Vincent W.S., editorTitle: Key technologies for 5G wireless systems/edited by Vincent W.S. Wong [and 3 otherOther titles key technologies for five g wireless svstemsDescription: Carmbrisige: New York, NY: Cambridge Lniversity Press, 2017.Identifiers: l CCN 2016045220)1 ISBN 9781 172418 (hardback)Subjects: LCSH: Wireless communication systems, I Machine-to-machinecommunications. Internet of things.Classitication: LCC TKs1032K49 2(17 DDC 621.38450-dc23LcrecordavailaBleathttps://lccnioc-gov/2016m5220)ISBN 978-1-107-17241- HardbackCambridge University Press has no responsibility for the persistence or accuracy ofURLs for extermal or third-party Internet websites referred to in this puhlication,and does not guarantee that any content on such websites is, or will remainaccurate of appropriateContentsList of Contributorspage xvIPrefaceKXIOverview of New Technolog ies for 5G SystemsVincent W S, Wong, Robert Schober, Derrick Wing Kwan Ng, and Li-Chun Wang1.1 Introduction1.2 Cloud Radio Access Networks1.3 Cloud Computing and Fog Computing1. 4 Non-orthogonal Multiple Access1. 5 Flexible Physical Layer Design334.4671. 6 Massive MIMo1. 7 Full-Duplex Communications1. 8 Millimeter wave1.9 Mobile Data Offloading, LTE-Unlicensed, and Smart Data Pricing131. 10 IoT M2M. and D2D1. I1 Radio Resource Management, Interference Mitigation, and Caching61. 12 Energy Harvesting Communications1. 13 Visible Light Communication19Acknowledgments20ReferencesPart I Communication Network Architectures for 5G Systems25Cloud Radio Access Networks for 5G Systems27Chih-Lin I, Jinn Huang, Xueyan Husang, Rongwved Ren, and Yami. Chen2.1 Rethinking the Fundamentals for 5G Systems272 User- Centric Networks2923 C-RAN Basics292.3.1 C-RAN Challenges Toward SGI302.4 Next Generation Fronthaul Interface (NGFI: The FH Solutionfor SGC-RAN312. 4.1 Proof-of-Concept Development of NGFI33Contents2.5 Proof-of-Concept Verification of Virtualized C-RAN2.5.1 Data packets3725.2 Test Procedure382.5.3 Test Results392. 6 Rethinking the Protocol Stack for C-RAN2.6.1 Motivation402.6.2 Multilevel Centralized and Distributed Protocol Stack402.7 Conclusion45AcknowledgmentsReferencesFronthaul-Aware Design for Cloud Radio Access Networks48Liang Liu, Wei Yu, and Osvaldo Simeone3. 1 Introduction483.2 Fronthaul-Aware Cooperative Transmission and Reception493. 2.1 Uplink513.2.2 Downlink573.3 Fronthaul-Aware Data Link and Physical layers61.3. I Uplink633.3.2 Downlink693.4 Conclusion73Acknowledgments74References74MobEdge computing76Ben Liang4.1 Introduction764.2 Mobile Edge Computing774.3 Reference architecture794.4 Benefits and Application Scenarios804 4.1 User-Oriented Use cases4. 4.2 Operator-Oriented Use Ca814 5 Research challenges824.5.1 Computation Offloading824.5.2 Communication Access to Computational Resources834.5.3 Multi-resource Schedulin844.5 4 Mobility Management854.5.5 Resource Allocation and Pricing4.5.6 Network functions virtualization864.5, 7 Security and Pri864.5.8 Integration with Emerging Technologies874.6 Conclusion88ReferencesContentsDecentralized Radio Resource Management for Dense HeterogeneousWireless networksAbolfazl Mehhodniya and Fumiyuki Adach5.1 Introduction925.2 System Model935.2.1 SINR Expression5.2.2 Load and Cost Function Expressions955.3 Joint BSCSA/UECSA ON/OFF Switching Scheme965.3.1 StrateTy Selection and Beacon Transmission53.2 UE AssocIation5.3.3 Proposed Channel Segregation Algorithms985.3.4 Mixed-Strategy Update3.4 Computer Simulation5.5 Conclusion104Acknowledgments04References105Part ll Physical Layer Communication Techniques107Non-Orthogonal Multiple Access(NOMA)for 5G Systems109Wei Llang, Zhiguo Ding, and H. Vincent Poor6.1 Introduction1106.2 NOMA in Single-Input Single-Output(SISO)Systems1126.2.1 The basics of nomaI126. 2. 2 Impact of User Pairing on NOMA136.2,3 Cognitive Radio Inspired NOMA6. 3 NOMA in MIMO Systems1206.3.1 System Model for MIMO-NOMA Schemes1216.3.2 Design of Precoding and Detection Matrices with Limited CSIT 1236.3.3 Design of Precoding and Detection Matrices with Perfect CSIT 1266.4 Summary and Future Directions128ReferencesFlexible Physical Layer Design133Maximilian Matthe, Martin Danneberg, Dan Zhang, and Gerhard Fettweis7.1 Introduction1337. 2 Generalized Frequency Division Multiplexing357.3 Software-Defined waveform1377. 3. 1 Time Domain Processing1387.3.2 Implementation Architecture1387.4 GFDM Receiver Design14174 Synchronization unit1427. 4.2 Channel Estimation Unit1474.3 MIMo-GFDM Detection Unit145Contents7.5 Summary and Outlook147Acknowledgments148References488Distributed Massive MIMO in Cellular Networks15IMichail Matthaiou and Shi Jin8. I Introduction15l8. 2 Massive MIMO: Basic Principles1528.2.1 Uplink Downlink Channel Models1538.2.2Favorable Propagation1548.3 Performance of Linear Receivers in a Massive MIMO Uplink1548.4 performance of linear precoders in a massive mimo downlink1578. s Channel estimation in massive mimo systems1588.5.1 Uplink Transmission1598.5.2 Downlink Transmission1608.6 Applications of Massive MIMO Technology1618.6.1 Full-Duplex Relaying with Massive Antenna Arrays1618.6.2 Joint Wireless Information Transfer and Energy Transfer forDistributed massive mimo1638.7 Open Future Research Directions1678. 8 Conclusionl68References169Full-Duplex Protocol Design for 5G Networks172Tanelf Ahonen and Risto wichman9.1 Introduction1729. 2 Basics of Full-Duplex Systems1739.2.1 In-Band Full-Duplex Operation Mode1739.2.2 Self-Interference and Co-channel Interference1749.2.3 Full-Duplex Transceivers in Communication Links1759. 2. 4 Other Applications of Full-Duplex Transceivers1789.3 Design of Full-Duplex Protocols1799.3, 1 Challenges and Opportunities in Full-Duplex Operation1799.3.2 Full-Duplex Communication Scenarios in 5G NetworksR9.4 Analysis of Full-Duplex Protocols1829.4.1 Operation Modes in Wideband Fading Channels1829. 4, 2 Full- Duplex Versus Half-Duplex in Wideband Transmission1849.5 Conclusion1849.5.1 Prospective Scientific Research DirectionsI849.5.2 Full-Duplex in Commercial 5G Networks185RLItrtncekl8610Millimeter Wave Communications for 5G Networks188Jiho Song, Miguel R Castellanos, and David J. LoweContentsⅸx10.1 Motivations and Opportunities18810.2 Millimeter Wave Radio Propagation18910. 2.1 Radio Attenuation1890. 2. 2. Free-Space Path LOSs19I10.2.3 Severe shadow19310.2 4 Millimeter Wave Channel model19310.2.5 Link Budget Analysis19410.3 Beamforming Architectures19510.3, Analog beamforming solutions19610.3.2 Hybrid Beamforming Solutions20010.3.3 Low-Resolution Receiver Architecture2010.4 Channel Acquisition Techniques20110.4.1 Subspace Sampling for Beam Alignment20210.4.2 Compressed Channel estimation Techniques20510.5 Deployment Challenges and Applications20710.5.1 EM Exposure at Millimeter Wave Frequencies20710.5.2 Heterogeneous and Small-Cell Networks208Acknowledgments209References209Interference Mitigation Techniques for Wireless Networks214Koralia N Pappi and George K, Karag annidis1 1.1 Introduction21411.2 The Interference Management Challenge in the 5G vision21411. 2. 1 The 5G Primary Goals and Their Impact on Interference2141 1.2.2 Enabling Technologies for Improving Network Efficiencyand Mitigating Interference21611.3 Improving the Cell-Edge User Experience: Coordinated Multipoint218I 1.3.1 Deployment Scenarios and Network Architecture2181 13. 2 CoMP Techniques for the Uplink22011.3.3 CoMP Techniques for the Downlink2211 1.4 Interference Alignment: Exploiting Signal Space Dimensions2231 1.4.1 The Concept of Linear Interference Alignment224L1. 4.2 The Example of the X-Channel225I 1. 4.3 The K-User Interference Channel and Cellular NetworksAsymptotic Interference Alignment22611.4.4 Cooperative Interferenee Networks22711.4.5 Insight from IA into the Capacity Limits of Wireless Networks 22711.5 Compute-and-Forward Protocol: Cooperation at the ReceiverSide for the Uplink22811.5.1 Encoding and Decoding of the CoF Protocol22811.5.2 Achievable-Rate Region and Integer Equation Selection23011.5.3 Advantages and Challenges of the CoF Protocol232IL6 Conclusion233References233

用VC实现了小波变换，小波逆变换，低通滤波，高通滤波，阈值滤波，信噪比等功能，绝对能用

PIC16f877解码6221红外遥控C 程序 1602显示

【实例简介】matlab隐马尔可夫模型事例代码，相信对学习马尔科夫模型的同学非常有用